TediGAN
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (by IIGROUP)
DALLECLIP
By vipermu
TediGAN | DALLECLIP | |
---|---|---|
1 | 1 | |
361 | 2 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 year ago | about 3 years ago | |
Python | Python | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TediGAN
Posts with mentions or reviews of TediGAN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
-
test
(Added Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.
DALLECLIP
Posts with mentions or reviews of DALLECLIP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
-
test
(Added Feb. 28, 2021) DALLECLIP by vipermu. Uses DALL-E's discrete VAE (variational autoencoder) component to generate images. Twitter reference.
What are some alternatives?
When comparing TediGAN and DALLECLIP you can also consider the following projects:
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
clipping-CLIP-to-GAN
VectorAscent - Generate vector graphics from a textual caption
AuViMi - AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.
Story2Hallucination
TediGAN vs StyleCLIP
DALLECLIP vs stylegan2-clip-approach
TediGAN vs Colab-deep-daze
DALLECLIP vs clipping-CLIP-to-GAN
TediGAN vs VectorAscent
DALLECLIP vs StyleCLIP
TediGAN vs AuViMi
DALLECLIP vs VectorAscent
TediGAN vs Story2Hallucination
DALLECLIP vs Story2Hallucination
TediGAN vs clipping-CLIP-to-GAN
DALLECLIP vs Colab-deep-daze